If a movie trailer distills a 2-hour film into its 3-minute essentials, what would it look like to distill movie trailer? Strangely, it would look a lot like object recognition software.
Støj, a Copenhagen coding studio, ran the trailer for The Wolf of Wall Street through an object-detection algorithm that identifies and labels everything on screen. In three separate videos, we essentially see how algorithms watch movies: They label the essentials—a tie, a wine glass, a chair—but leave the specifics out. It’s like visual ad-libs.
The first video filter uses object masking, so only objects recognized by the software appear. Pretty much every object is classified, although there are a few mistakes. It thinks McConaughey is wearing two ties—which I wouldn’t put past him, but isn’t the case here—and it can’t tell the difference between a wine glass, a water glass, and a martini glass.
The second version blurs the humans so you only see the description boxes. Leo and Matt are still instantly recognizable by their voice, however.
The final version, and the coolest, removes the visuals entirely, essentially creating a filter of what the software “sees” during analysis.
Imagine if we could train algorithms to recognize tropes or casting patterns. Just think of a future in which trailers, or even full movies, are distilled purely into blank screens with text boxes that replaced Bruce Willis or Nicolas Cage’s faces with [AGING ACTOR] or the trailer for the next Michael Bay movie with [SERIES OF EXPLOSIONS] or any Adam Sandler “comedy” with [DON’T BOTHER]. Perhaps the future doesn’t look so bleak after all.
